piotrkawa / attack-agnostic-dataset Goto Github PK

Hello! when I try to train LCNN+LFCC ,I meet some problems.
The first problem : In FakeAVCeleb_v1.2 dataset, after I convert the MP4 format to MP3 format,it may go wrong as picture_1.But when I convert the MP4 format to WAV format,it run normal,just as picture_2.
The second problem : when I run train_models.py, it show the warning:UserWarning: At least one mel filterbank has all zero values. The value for n_mels (128) may be set too high. Or, the value for n_freqs (257) may be set too low.I show it in picture_3.
And I want to know how to preprocess the AAD .Thank you.

Hello,

I would like to run your project but I encountered the problem shown below

I suspect it may be due to the directory structure in my dataset and an attempt to create sample objects. Below is my directory structure.

Do you have any idea where to start fixing it?
Thank you in advance for your help
Best wishes

Hi, I am training your model and found a problem of FakeAVCelebdataset.
In fakeavceleb_dataset.py line33:
`class FakeAVCelebDataset(SimpleAudioFakeDataset):

audio_folder = "FakeAVCeleb-audio"
audio_extension = ".mp3"`

The audio extension is mp3, but the extension of FakeAVCeleb_v1.2 whichi i downloaded is mp4.
And there are four folders in FakeAVCeleb_v1.2 dataset:
A > RealVideo-RealAudio (Real Voxceleb videos)
B > RealVideo-FakeAudio (Deepfake)
C > FakeVideo-RealAudio (Deepfake)
D > FakeVideo-FakeAudio (Deepfake)

The FakeAVCeleb-audio folder was not found.
Did I not download the full dataset? Or did you convert the MP4 format to MP3 format and resampled to 16kHz?